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September 10, 2025MALAYSIAN JOURNAL OF COMPUTINGOpen Access

Cyber Fraud Profiling With Routine Activity Theory Using Data Mining Techniques

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Authors

SSSunardi SunardiAFAbdul FadlilNKNur Makkie Perdana Kusuma

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Overview

Analysis reveals victim and offender profiles in cyber fraud, indicating risks for internet users.

Key Points

  • Cyber-fraud profiling based on routine activity theory identifies distinct victim and offender characteristics.
  • Data mining techniques successfully analyzed structured and unstructured data to derive useful patterns.
  • The Naive Bayes Algorithm highlighted demographic factors, including age and internet behavior, related to victimization.
  • Findings emphasize the need for enhanced awareness and knowledge about cyber fraud among potential victims.

Cite This Study

Sunardi et al. (2023) studied this question.

synapsesocial.com/papers/68c1e24854b1d3bfb60ff22dhttps://doi.org/10.24191/mjoc.v8i2.23391
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